--- title: "CME Group: Context at Speed" url: "https://atlan.com/regovern-watch-center/cme-group-context-at-speed/" description: "Kiran Panja, Managing Director at CME Group, reveals how the world's largest derivatives exchange eliminated the \"context bottleneck\"." keywords: "atlan, data governance, regovern 2025, regovern watch center" --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ **CME Group: Context at Speed**: a session recording from Re:Govern 2025 (online, Nov 4-5, 2025), in the [Re:Govern 2025 watch center](https://atlan.com/regovern-watch-center/). Kiran Panja, Managing Director at CME Group, reveals how the world's largest derivatives exchange eliminated the "context bottleneck". The recording plays on the page after a short preview, then an email form unlocks the rest: [watch at https://atlan.com/regovern-watch-center/cme-group-context-at-speed/](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/). ## Speakers - **Kiran Panja**, Managing Director, CME Group. Kiran architects data infrastructure for the world's largest derivatives exchange. From regulated banking at Citi to enterprise cloud at IBM, he's mastered the trade-off between agility and governance - now he's solving it at market scale at CME Group. ## Company **CME Group.** CME Group operates the world's largest derivatives marketplace, processing 30.2M contracts on average every day. A decade-long Google Cloud journey powers AI-ready, governed infrastructure at the speed and scale global markets demand. ## What's inside At CME Group, markets operate at nanosecond speed, but business context took weeks to apply - creating a dangerous drag where speed is everything. Kiran shares CME's strategy for delivering AI-ready data in seconds by automating governance to enrich millions of assets with lineage and business meaning in near real-time. Key takeaways: - Context bottlenecks persist even after cloud migration if enrichment processes remain manual and slow - Automated governance transforms from a manual chore into a high-speed enrichment engine operating at market speed - Millions of data assets need lineage and business context applied in seconds, not weeks, for AI readiness - Cloud-first governance requires partner-led operating models that scale at enterprise velocity - Trusted data foundations for AI-powered markets demand context that moves as fast as the transactions themselves ## Session chapters 1. Fixing the context bottleneck: Why manual enrichment slows AI readiness even after cloud migration. 2. Automating governance at market speed: Turning governance into a high-speed enrichment engine. 3. Enriching millions of assets in seconds: Applying lineage and business context at scale and speed. 4. Partner-led operating models for the cloud: Building scalable governance ecosystems in the cloud era. 5. Trustworthy data at transaction speed: Delivering context-rich, AI-ready data for high-velocity markets. ## More from Re:Govern 2025 - [Mastercard: Context by Design](https://atlan.com/regovern-watch-center/mastercard-context-by-design/) (Session Recordings) - [Workday: Context as Culture](https://atlan.com/regovern-watch-center/workday-context-as-culture/) (Session Recordings) - [Why Workday is Building a Semantic Layer](https://atlan.com/regovern-watch-center/workday-building-semantic-layer/) (Highlights) - [Workday's Learnings From its First Talk to Data experiment](https://atlan.com/regovern-watch-center/workday-talk-to-data-learnings/) (Highlights) - [How Workday Connects Context Across Business Tools](https://atlan.com/regovern-watch-center/how-workday-connects-context/) (Highlights) - [How Mastercard Designs Context at Scale](https://atlan.com/regovern-watch-center/how-mastercard-designs-context/) (Highlights) - [Mastercard's Federated Architecture for Agentic Commerce](https://atlan.com/regovern-watch-center/mastercard-federated-architecture/) (Highlights) - [How Protocols and Tools are Evolving for Agentic Governance](https://atlan.com/regovern-watch-center/protocols-agentic-governance/) (Highlights) - [How Data Roles are Evolving: From Modelers to Context Engineers](https://atlan.com/regovern-watch-center/data-modelers-to-context-engineers/) (Highlights) - [The Evolution of Trust: Building the Foundations for Future-Readiness](https://atlan.com/regovern-watch-center/evolution-of-trust/) (Session Recordings) - [How Mercury Insurance is creating PII-free workspaces for AI use cases](https://atlan.com/regovern-watch-center/pii-free-workspaces/) (Highlights) - [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/) (Highlights) - [AI-Ready Tech Pioneers Share their Single Most Effective AI Readiness Strategies](https://atlan.com/regovern-watch-center/ai-readiness-strategies-pioneers/) (Highlights) - [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/) (Highlights) - [Vimeo's Approach to Data Governance in the Era of Conversational Analytics](https://atlan.com/regovern-watch-center/Vimeo-approach-to-data-governance/) (Highlights) - [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/) (Highlights) - [Workday's Semantic Layer Strategy](https://atlan.com/regovern-watch-center/workday-semantic-layer-strategy/) (Highlights) - [Modern Data & AI Governance Blueprint](https://atlan.com/blueprint) (Resources)